The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
A pathway-based classification of human breast cancer
Open accessAbstract
The hallmark of human cancer is heterogeneity, reflecting the complexity and variability of the vast array of somatic mutations acquired during oncogenesis. An ability to dissect this heterogeneity, to identify subgroups that represent common mechanisms of disease, will be critical to understanding the complexities of genetic alterations and to provide a framework to develop rational therapeutic strategies. Here, we describe a classification scheme for human breast cancer making use of patterns of pathway activity to build on previous subtype characterizations using intrinsic gene expression signatures, to provide a functional interpretation of the gene expression data that can be linked to therapeutic options. We show that the identified subgroups provide a robust mechanism for classifying independent samples, identifying tumors that share patterns of pathway activity and exhibit similar clinical and biological properties, including distinct patterns of chromosomal alterations that were not evident in the heterogeneous total population of tumors. We propose that this classification scheme provides a basis for understanding the complex mechanisms of oncogenesis that give rise to these tumors and to identify rational opportunities for combination therapies.
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Cites
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Carcinoma–astrocyte gap junctions promote brain metastasis by cGAMP transfer
Chen, Q., Boire, A., Jin, X., Valiente, M., Er, E. E., Lopez-Soto, A., S. Jacob, L., Patwa, R., Shah, H., Xu, K., et al. (2016) · Nature · doi:10.1038/nature18268 · Cited by 969
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Prognostic and predictive value of PDL1 expression in breast cancer
Sabatier, R., Finetti, P., Mamessier, E., Adelaide, J., Chaffanet, M., Ali, H. R., Viens, P., Caldas, C., Birnbaum, D., & Bertucci, F. (2015) · Oncotarget · doi:10.18632/oncotarget.3216 · Cited by 508
Metadata
- Authors
- Gatza, M. L., Lucas, J. E., Barry, W. T., Kim, J. W., Wang, Q., D. Crawford, M., B. Datto, M., Kelley, M., Mathey-Prevot, B., Potti, A., & Nevins, J. R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2010-03-24
- Volume
- 107
- Issue
- 15
- Pages
- 6994-6999
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2120261416
- Cited by
- 347
- References
- 45
- FWCI
- 8.67
- Type
- journal article
- Language
- en
- Open access
- green
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- Gatza, M. L., Lucas, J. E., Barry, W. T., Kim, J. W., Wang, Q., D. Crawford, M., B. Datto, M., Kelley, M., Mathey-Prevot, B., Potti, A., & Nevins, J. R. (2010). A pathway-based classification of human breast cancer. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0912708107
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
